摘要
Abstract
Special equipment refers to boilers,pressure vessels,elevators,lifting machinery,and other equipment that involve life safety and high risk.It is commonly used in industrial production and daily activities of residents.In response to the problems of high difficulty,low precision,and high cost in predicting special equipment accidents,in order to further improve the accuracy of special equipment fault prediction,a special equipment accident prediction method integrating accident characterization and case based reasoning(CBR)is proposed.In the research process,firstly,by analyzing the causes of special equipment accidents and constructing a structural model for accident characterization,the characterization of special equipment accidents is sorted out.By clarifying accident characterization standards and encoding accident characterization information,a case library of accident characterization is constructed.Finally,by performing attribute weight calculation,case similarity calculation,and accident probability prediction,a special equipment accident prediction method that integrates accident characterization and CBR is summarized to improve the accuracy of special equipment prediction results,break the limitation of only using accident table theory to predict special equipment accidents,and ensure the safe operation of special equipment.关键词
事故表征/特种设备/故障表征信息/案例推理Key words
accident characterization/special equipment/fault characterization information/case-based reasoning分类
信息技术与安全科学
